Automate document processing into Microsoft SQL Server

Yes. Affinda's integration with Microsoft SQL Server connects your document processing directly to your database workflows. It automatically extracts, validates and loads data from invoices, compliance forms, HR documents and procurement files straight into SQL Server tables. With Affinda, you can populate your databases faster, eliminate manual data entry errors and maintain complete control over your business data through a single, connected workflow.

Affinda processes documents from any source - email, upload or API - and extracts structured data like supplier details, invoice numbers, employee information and compliance dates using AI agents trained for accuracy.

Once validated, the data is automatically loaded into your SQL Server tables in the format you need, whether that's populating invoices, purchase orders, resumes or contracts for reporting, analytics or application use.

You can also configure custom validation rules, field mappings and data transformations to match your database schema and business requirements.

Affinda processes any document type and sends the extracted data straight into Microsoft SQL Server, including:

• Invoices, receipts and credit notes
• Purchase orders and inventory sheets
• Compliance forms and audit reports
• HR documents, resumes and onboarding forms
• Contracts and supplier statements

Whether your documents are digital PDFs or scanned images, Affinda handles them all - extracting structured data with 99%+ accuracy across multiple languages and complex layouts.

No. With Affinda, you can automate document ingestion completely. To get your documents to Affinda, you have three options:

• Upload documents directly into your Affinda workspace
• Forward documents via email or configure automatic email forwarding
• Integrate your document source through APIs or cloud storage connections

Once Affinda receives your documents, data is automatically extracted, validated and loaded into your SQL Server tables - no manual file handling required.

Yes. Affinda lets you define custom validation rules and business logic before any data reaches your SQL Server database.

For example, you can configure rules to:

• Verify data types match your database schema requirements
• Check for duplicate records before insertion
• Validate mandatory fields are populated and formatted correctly
• Ensure compliance dates meet regulatory requirements

These validation checks maintain database integrity, prevent errors and ensure your SQL Server data is accurate and ready for analytics or application use.

Yes. Affinda handles bulk document processing at any scale. Whether you're loading 50 invoices a month or 50,000 a day, the platform supports high-volume uploads and automated data loading into SQL Server tables.

This makes it ideal for enterprise finance teams, procurement departments and operations groups managing large volumes of invoices, purchase orders, compliance documents and HR files that need reliable database integration.

You can start processing documents into SQL Server in under an hour. Affinda's flexible integration allows you to:

• Connect securely to your SQL Server database
• Map extracted document fields to your tables and schemas
• Begin loading data immediately with automated workflows

For enterprise teams, Affinda provides API access and custom configuration options for deeper integration with your existing database infrastructure and business applications.

Absolutely. Affinda follows security standards including ISO 27001:2022, SOC 2 and GDPR for security and compliance. Data is encrypted in transit and at rest, with strict role-based access controls and full audit logging. You can also select region-specific data storage to meet your organization's compliance and data residency requirements.

By integrating Affinda with Microsoft SQL Server, you can:

• Eliminate manual data entry and populate database tables automatically
• Accelerate reporting cycles and enable real-time business intelligence
• Improve data accuracy with built-in validation and schema mapping
• Maintain audit readiness with automated compliance data management
• Scale document processing without adding headcount or infrastructure